A New Process to Tackle Misinformation on Social Media: Prevalence-Based Gradation

Note: Presentation times are in Pacific Standard Time (PST).

Wednesday, January 25, 2023 - 11:30 am12:00 pm

Kamesh Shekar, The Dialogue

Abstract: 

While misinformation and disinformation is not a new threat, it is accelerated by social media platforms. High-stakes information like election-related information, health-related information, etc., has critical consequences on individuals and communities in real life, but it is muddled with mis/disinformation. Platforms use various technological measures and predictive machine learning tools to detect unlawful content like child sexual images, pornography, dis/misinformation. These technological measures have their merits to an extent, especially where platforms can act faster and at scale. At the same time, we increasingly see content falling through the crack due to false negatives and getting struck or taken down due to false positives.

One of the critical reasons social media posts fall through the cracks is that platforms are presently confined to content-level intervention in the absence of process-level clarity and intervention within the content moderation pipeline. This lack of process-level intervention causes platforms to utilise resources and time inefficiently.

Against this backdrop, in this talk, I discuss/propose a novel process-level intervention that would refine the content moderation pipeline and enable the efficient use of tools and resources across its entirety. I propose a “prevalence-based gradation process” (PBG) – a system that uses prevalence as an integral element for hard moderation to tackle mis/disinformation. The talk will also show how the PBG process would act as a means through which social media platforms can evaluate content using ex-ante measures and exercise optimal corrective action in a calibrated format adjusted according to the exposure level of the information.

Kamesh Shekar, The Dialogue

Kamesh Shekar leads the Privacy and Data Governance Vertical at The Dialogue and was a Fellow at the Internet Society. His area of research covers informational privacy, surveillance technology, intermediary liability, safe harbour, issue of mis/disinformation on social media, AI governance etc. Prior to this, Kamesh worked as a communication associate at Dvara Research. Kamesh holds a PGP in Public Policy from Takshashila Institution and holds an MA in media and cultural studies, and a BA in social sciences from the Tata Institute of Social Sciences.
BibTeX
@conference {285621,
author = {Kamesh Shekar},
title = {A New Process to Tackle Misinformation on Social Media: {Prevalence-Based} Gradation},
year = {2023},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jan,
}